ENGAGING PARTICIPANTS FOR
COLLABORATIVE SENSING OF
HUMAN MOBILITY
HELENA RODRIGUES, MARIA JOÃO NICOLAU, RUI JOSÉ AND ADRIANO MOREIRA
CENTRO ALGORITMI, UNIVERSIDADE DO MINHO, PORTUGAL
1st International Workshop on Ubiquitous Mobile
Instrumentation, 8 September, 2012
Outline
2




The problem
The Epi application
Preliminary results
Discussion
1st International Workshop on Ubiquitous Mobile Instrumentation, 2012
The problem
3

How to collect data for human mobility analysis
 Where
do people spend more time during the day?
 Which are the most frequent routes used by people?
 It
is possible to suggest alternative and more sustainable
paths for daily trips
 Which
could be the best decisions concerning new
computing infrastructures deployments?


Large data sets
Extended periods of time
1st International Workshop on Ubiquitous Mobile Instrumentation, 2012
The Epi application
4

Explore people as sensors


Laptop vs mobile phone
Social application
Text messages sharing between users
 Collects information about nearby APs
 Privacy policy




Preserves normal spatio-temporal behaviour of users
Text messages sharing as a service reward
Non-personalised advertisements through social services
(in July and October 2010) to attract users
1st International Workshop on Ubiquitous Mobile Instrumentation, 2012
Preliminary results
5
Web site: unique visitors per day
Application: number of active users per week.
Web site: number of downloads per day
Collected data: number of records uploaded per week
1st International Workshop on Ubiquitous Mobile Instrumentation, 2012
Discussion
6

Users are more active close to advertisement
periods
 Scalable

solution for advertisement and distribution?
Improve users’ awareness about the value of the
data collected collaboratively
 Which
should be the main characteristics of a mobile
sensing application?

Open access/publication to/of the data
 How
to ensure privacy, trust and integrity?
1st International Workshop on Ubiquitous Mobile Instrumentation, 2012